Data Scientist in Hamburg bei AppLike GmbH

As a Data Scientist you will be responsible to assist our WAVE product team by gathering, interpreting and deriving smart conclusions based on data. You will have access to state of the art technology to implement new approaches on how to leverage our data assets with new ideas. adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: BI and Data Science

There’s no tech company out there without data. All of our products and their development are based on data, which is why the BI & Data Science team is at the heart of every company process – including product development and decision-making processes. As a part of the BI and Data Science team, you will be working closely with our WAVE product team. Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? It’s exactly for this that adjoe has built WAVE. Behind the scenes, we have an impressive prediction model working to figure out if an ad will lead to installing an app or not. The algorithm requires operating data from different data sources and performs calculations in real time. You'll conduct research and investigations for the algorithm improvements and generate ideas for new features that could be included into the model. You will have access to state-of-the-art technology and work closely with the product and business teams to shape the future of adjoe’s core business and technologies.

What you will do:

• You drill into data from various sources (Redshift, Spark, SQL, Athena, S3, Druid event streams, AWS data pipeline) and write scripts to improve the processes
• You calculate statistics, extract insights from data and connect it to potential value for the product, either as a direct input or through feature extraction/engineering for the machine learning models
• You communicate with different roles inside the company and educate people about data
• You express technical issues comprehensively in business language
• You assess the performance of our products, coming up with ways to improve them and are directly involved in implementing the solutions

Who you are:

• Located in EU and ready to relocate to Hamburg, Germany
• Excellent analytical skills, demonstrating expertise in data manipulation, analysis, and visualization. Experience working with Big Data of any kind
• Proficiency in programming languages such as Python and/or R and spreadsheets
• Outstanding experience in SQL
• Experience working with data visualization tools such as Amazon QuickSight, Tableau, Power BI, or similar platforms.
• Strong analytical thinking and problem-solving skills, with the ability to draw actionable insights from complex datasets.
• Strong communication skills with both tech and business team members to collect all the dots. Drive business valuable insights from data and understand how it will be used in the software
• Plus: Knowledge about Mobile App analytics

Why you will love working here:

• Tech Package: Create game-changing technologies and work with the newest technologies out there.
• Work–Life Package: Work remotely for 2 days per week, enjoy flexible working hours and 30 vacation days, and work remotely for 3 weeks per year, a modern office in the city center, dog-friendly.
• Relocation Package: Receive visa and legal support, a generous relocation subsidy, and free German classes in the office.
• Never-Go-Hungry Package: Graze on regular company and team lunches, free breakfasts, and a selection of free snacks and drinks.
• Health Package: Free in-house gym, and biweekly yoga classes.
• Activity Package: Enjoy a host of team events, hackathons, and company trips.
• Career Growth Package: Dedicated growth budget to attend relevant conferences and online seminars of your choosing.
• Wealth Building: Virtual stock options.

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

We welcome applications from people who will contribute to the diversity of our Company.